Multi threaded matrix ldivide
    2 visualizaciones (últimos 30 días)
  
       Mostrar comentarios más antiguos
    
    Tung-Duong
 el 17 de Ag. de 2017
  
    
    
    
    
    Respondida: guoliang song
 el 28 de En. de 2020
            Could anyone please confirm? A \ B is multi-threaded for dense matrices but single-threaded for sparse matrices. I watched the Resource Monitor in Windows 10 in both cases and saw only activity on 1 core in the case of sparse matrices (Matlab 2017a). If this is true, is there any way to get multi-threading on sparse \ operation?
0 comentarios
Respuesta aceptada
  John D'Errico
      
      
 el 18 de Ag. de 2017
        Backslash works in an automatically multi-threaded form ONLY on dense matrices, and only for systems that are sufficiently large. I recall verifying this fact, although it may change in some future release.
I believe there is currently nothing you can do to force multithreading for a sparse system solve. Even, for example, if you have the parallel processing TB, you still cannot break the problem up.
3 comentarios
  Joss Knight
    
 el 18 de Ag. de 2017
				
      Editada: Joss Knight
    
 el 18 de Ag. de 2017
  
			For sparse solves on the GPU only a vector RHS is currently supported. This is because that is what the underlying library (cusolver) supports. So B has to be a vector. Also you say A is non-square in one paragraph and then you say it's square in the next. At the moment, only square A is supported.
Más respuestas (1)
  guoliang song
 el 28 de En. de 2020
        I also have this problem and it seems very strange.
a\b  (a is about 60k*6k)
On my old PC(i7/4core,matlab2017). It can use all 4 core.
On my new PC(i9/10core,matlab2017). It can only use 1 core.
Same result in matlab2019b.
0 comentarios
Ver también
Categorías
				Más información sobre Creating and Concatenating Matrices en Help Center y File Exchange.
			
	Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!



